Semantic Annotation and Indexing of News and Sports Videos

  • Authors:

  • Jürgen Assfalg;Marco Bertini;Carlo Colombo;Alberto Del Bimbo;Walter Nunziati

  • Affiliations:

  • -;-;-;-;-

  • Venue:
  • SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
  • Year:
  • 2002

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Abstract

Broadcasters are demonstrating interest in systems that ease the process of annotation the huge amount of live and archived video materials. Exploitation of such assets is considered a key method for the improvement of production quality. Development of systems supporting effective retrieval by content of videos requires to perform a wide spectrum of operations on video streams, including temporal segmentation, analysis of the audio and video tracks, identification and recognition of text. Low level features are then processed to provide some higher level description of video content, as most of the user queries are typically related to higher level syntax and semantics, rather on the lower level lexical level. The specificity of different application domains requires that different solutions be adopted in different contexts. This may affect both the choice of low level features to be extracted, as well as the modeling of specific domain knowledge required address the issue of higher level of semantics.In this paper we will report on our experience in the application contexts of news and soccer videos. We will show solutions adopted to cope with specific requirements of different application domains.